Data Engineer Senior - Data Products Organization (Cloudera Hadoop)

Requirements

• -Spark/Pyspark
• -Cloudera Hadoop (HIVE, HQL, Impala, Beeline, HDFS)
• -Linux
• -Iceburg
• -Kafka streaming
• -CA7 orchestration
• -Data Engineer Lead Experience
• PNC will not provide sponsorship for employment visa for this position. PNC will not participate in OPT or STEM OPT for this position.
• PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
• PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
• Job Description
• Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
• Leads data requirement analysis and the data preparation process development for targeted data solutions.
• Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
• Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
• Consults on data migration and transformation to ensure the accuracy and security of data solutions.
• PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
• Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
• Preferred Skills
• Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
• Competencies
• Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle
• Work Experience
• Education
• Bachelors
• Certifications
• No Required Certification(s)
• Licenses
• No Required License(s)
• Pay Transparency
• Base Salary: $65,000.00 - $171,925.00
• Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
• Application Window
• Generally, this opening is expected to be po

Additional Information

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer Senior within PNC's Data Product Organization, you will be based in Pittsburgh-PA, Strongsville-OH, Dallas-TX, or Birmingham-AL. - Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. - Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. - Demonstrate initiative to develop approaches to solutions as part of a team; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. - Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. - Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics - Demonstrate command of Hadoop, Spark 3m Python, Kafka, and complex orchestration. - Communication and lead experience over a group of data engineers. - Work independently within a fast-paced agile environment

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